Back

An Introduction to Proximal Causal Learning

2020-09-23 epidemiology Title + abstract only
View on medRxiv
Show abstract

A standard assumption for causal inference from observational data is that one has measured a sufficiently rich set of covariates to ensure that within covariate strata, subjects are exchangeable across observed treatment values. Skepticism about the exchangeability assumption in observational studies is often warranted because it hinges on investigators ability to accurately measure covariates capturing all potential sources of confounding. Realistically, confounding mechanisms can rarely if ev...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 44% 16.3%
2
Statistics in Medicine
17 training papers
#1 10.1%
3
Scientific Reports
701 training papers
Top 24% 8.3%
4
PLOS Computational Biology
141 training papers
Top 3% 5.9%
5
American Journal of Epidemiology
54 training papers
Top 0.4% 4.6%
6
Nature Communications
483 training papers
Top 24% 4.6%
7
Epidemiology
26 training papers
#1 3.8%
8
BMC Medical Research Methodology
41 training papers
Top 0.5% 3.8%
9
eLife
262 training papers
Top 14% 3.6%
10
International Journal of Epidemiology
65 training papers
Top 2% 3.6%
11
Proceedings of the National Academy of Sciences
100 training papers
Top 3% 3.3%
12
BMC Medicine
155 training papers
Top 14% 1.8%
13
Journal of The Royal Society Interface
54 training papers
Top 3% 1.8%
14
Epidemics
96 training papers
Top 6% 1.8%
15
PLOS Genetics
39 training papers
Top 4% 1.8%
16
Royal Society Open Science
49 training papers
Top 3% 1.4%
17
European Journal of Epidemiology
36 training papers
Top 3% 1.2%
18
Journal of Theoretical Biology
29 training papers
Top 2% 1.2%
19
npj Digital Medicine
85 training papers
Top 16% 1.1%
20
Science
46 training papers
Top 6% 0.9%
21
JAMA Network Open
125 training papers
Top 34% 0.7%
22
Bulletin of Mathematical Biology
17 training papers
Top 2% 0.7%
23
Infectious Disease Modelling
50 training papers
Top 8% 0.7%
24
Science Advances
52 training papers
Top 7% 0.7%
25
Research Synthesis Methods
17 training papers
Top 0.9% 0.7%